In the latter parts of the study, the company looked specifically at social network membership data for users of the AOL, Gmail, Hotmail and Yahoo webmail services. Not surprisingly, the study found that Facebook was the most popular network across the board. What's more interesting is how well MySpace fared in some cases. On both the Hotmail and Yahoo webmail services, Facebook only had a small lead. Here, around 20% of all Hotmail and Yahoo webmail users were found to be on Facebook and MySpace. What does this reveal about the Hotmail and Yahoo user base? That they're a little more behind the times? Or that they've been around on the net longer and at one time had created (and possibly now abandoned) their MySpace pages? Unfortunately, the study can't provide us with these sorts of answers.

The study also showed that Twitter is far more popular among Gmail users than anyone else. In fact, on the other services, it's 4-5 times less popular than Facebook. We would like to think that's because Gmail users are just more web-savvy and cool, but it's possible that it's because they're just younger than everyone else.

Not surprisingly, LinkedIn is the least popular social network, but as Rapleaf points out, many LinkedIn users may have registered with their business email instead.

Participation Levels - Hotmail Users have Most Profiles, Gmail Users Better-Connected

When it comes to how the webmail users participate on social networks, Rapleaf found that the majority of the users have only one social media profile. But the service where the average number of profiles is the highest might surprise you - it's Hotmail. There the average is 2.5 profiles per user. Hotmail is followed by Yahoo, then AOL, and it's Gmail users who have the least number of social media profiles. That finding seems odd considering that Gmail users are younger and more likely to use Twitter in addition to Facebook. In fact, it almost seems like this data doesn't even fit with the rest of the study.

However, the discovery that Gmail users are better-connected than the other users makes more sense. On average, Gmail users have the most friends on social networks with 46.2 friends while Yahoo users have the least with 40.0.

Since again, Gmail users tend to be younger than the rest, it goes to reason that they would be in a demographic where their peers are more likely to have social membership profiles. Older webmail users, meanwhile, are still signing up for these sites. Although baby boomers and other middle-aged folks are joining sites like Facebook in droves these days, social networks are still dominated by the young.

Methodology

For the Rapleaf study, the company sampled 120,000 webmail accounts from users with @aol.com, @gmail.com, @hotmail.com and @yahoo.com email addresses. They then looked into the users' age, gender and social networking data by collecting information from public social media profiles. Obviously, in doing so, they've skewed their findings a bit, as the company notes in their original blog post. However, the sample size is large enough to form some conclusions about the members of these services, even if it relied on a particular subset of users.

This time, we'll focus on the Web of services, which makes services accessible to and processable for machines. These Webs all have a semantic architecture in common and follow basic Web principles, such as being decentralized, modular, simple, addressable via URIs, and built for machines.

The effort to standardize such things as service-oriented architectures (SOA) and Web services has taken years, but still we have no clear definition of what constitutes a service at a conceptual level. The interface, which is the format of what goes in and out of the service, is often described formally, but what the service is actually doing, semantically speaking, is not. While there are a number of different approaches to semantically describing Web services, such as OWL-S, WSMO and WDSL-S, none so far has managed to break out of its academic confines.

Today, there are already all kinds of services with different levels of complexity, and their number is expected to grow exponentially. The services follow different standards, and a lot of them are proprietary, uni-directional and designed to be used by humans to mash up something new. Editorial catalogs such as ProgrammableWeb and search engines for Web services such as seekda are designed for humans who are searching for a particular service for that reason. For tasks that are unsolvable for machines, there are even Web services such as Amazon's Mechanical Turk, which have humans in the back end answering tricky queries.

The problem with all of this is that each of the tens of thousands of services is accessible but not findable by a machine without a machine-understandable description. Thus, every service nowadays has to be wired to a machine by hand. So, what would machines be capable of if services were annotated with semantic descriptions?

• Service discovery
  Given an index of Web services, a machine charged with finding the right service for a particular problem could choose one among those that have been indexed.
• Contracting and execution
  Once a service has been selected, a machine could look up its terms and decide on contracting and execution details. How often would the service be needed? And what would be the cheapest contract then?
• Billing or revenue sharing
  Depending on the autonomy of the machine, one could imagine something like an Autonomous Agent, which automatically makes the best deal with the service provider on such things as billing or revenue sharing for service usage.
• Replacement on failure, based on experience
  Of course, the machine would be able to replace a failing service with an equivalent one. It could also rate a service and publish it.
• Service orchestration
  A machine could, given enough intelligence, split a task into sub-tasks and then discover, contract and orchestrate services to solve these sub-tasks. And after the sub-tasks have been addressed, the main task would be solved. Such orchestration could involve the parallelization of tasks, for speeding up or redundancy purposes, or chaining services (whereby the output of one service is inputted into the next).

Research projects such as TripCom, SUPER, SHAPE and SOA4All are dealing with these ideas and scenarios.

Future scenarios are limited only by our imagination: machines could autonomously pursue goals on behalf of their master user or company, according to a specified level of freedom. These agents could solve increasingly complex problems and be granted increasingly more autonomy (finally ending up as Skynet).

In the next and final post in this series, we will discuss how all of these scenarios could become a reality with the arrival of all three Webs: a revolution in the ability of machines to access, process and apply information.

Do you also count the Web of services as a third Web? Where do you see its limits?

(Photo by zorro-art.)

Although the data repository Infochimps has been open for a year or so now, the company is making a big announcement at the DEMOfall 09 conference today. Now, in addition to simply being one of the best sources for finding raw data online, you're able to share your data - or even list it for sale - through new site features which the company hopes will encourage businesses to open up their commercial datasets to the world.

At Infochimps, data can either be hosted on site in a standard format like CSV, XML, or YAML, or it can simply point to an external source. While the data itself cannot be manipulated on the site, the metadata like the description and tags can be edited by anyone who creates an account at Infochimps.org. The site founders have seeded the site with some data already - like the data from the comprehensive knowledge archive network - but the majority of the data is user-submitted. They've also partnered with Amazon to share Infochimps data with Amazon's Public Data Sets service. To date, one-third of Amazon's Public Data Sets were contributed by Infochimps.

New Announcements: Sell and Share Your Data

Today, the company is opening up and allowing anyone to upload their own datasets. The data can be any raw data that has an open license. To get started, users just upload it to the site and Infochimps will then handle the storage and distribution. Also, for any truly valuable data, be that commercial data a company wants to share or some sort of data manipulation - like editing awful census data into a format for use with MySQL databases - users can now charge for downloads, too. The price for the dataset can be set to any amount, however Infochimps makes its money by taking a 20% cut of all data sold.

There really isn't a company that's doing anything like Infochimps. Amazon's Public Data Sets comes close, but isn't nearly as extensive. And although other repositories of data exist, (Archive.org and the newly launched Data.gov come to mind), these resources focus on one particular type of data as opposed to providing a search engine for all data.

Those who have data to share or sell can now do so as of today: just visit Infochimps.org to get started. ReadWriteWeb readers who use this service can use the code RWWrocks to get in.

For the quarter ending this past June, we compared the findings of three research firms that reported on the money invested in Q2:

• July 21, MoneyTree (PricewaterhouseCoopers, with data from the National Venture Capital Association and Thomson Reuters): $3.7 billion, with 612 deals,
• July 18, VentureSource (DowJones): $5.27 billion, with 595 deals,
• July 14, ChubbyBrain (a New York City-based startup partnering with ReadWriteWeb): $5.329 billion, with 613 deals.

VentureSource and ChubbyBrain seem to agree on the top line number. But MoneyTree's number is what most people report, and that is about $1.5 billion different.

As the old saying goes, "A billion here, a billion there. Sooner or later it adds up."

Disclosure: Our VC Funding Report

ReadWriteWeb has an interest in this. We sell a report for $299 that has details on the 240 deals done this quarter in the Internet, mobile, and SaaS space (not clean tech or bio tech), and this is powered by data from ChubbyBrain. So we are biased. But it also means that we are engaged and have been looking at this fairly deeply.

Who Cares?

We also think that accuracy matters, and we are trying to figure whom accuracy matters to. We see three main types of participants in the industry:

1. VCs. They need accurate data for their own fund-raising. They have to be able to benchmark their own funds relative to the broader market.
2. Entrepreneurs. Data on what funding deals are being made, and why, helps them figure out how much to raise, when, and from which VC.
3. The startup "community." This is a catch-all for everyone else, who tend to align to either VCs or entrepreneurs. Journalists, the non-aligned fourth estate, want reliable data to key off interesting stories.

Why does this matter? The startup community matters to the health of the overall economy. As the National Venture Capital Association (NVCA, the trade association of VCs) likes to point out:

"Originally, venture-backed companies have created companies that accounted for 10.4 million jobs and over $2.3 trillion in revenue (based on 2006 data)."

So a headline like "VC Investments Falling Off Cliff in the US" really impacts a lot of people. That is the kind of headline that most journalists/bloggers wrote in April 2009, based on data reported by those trusted sources.

We wrote a really boring headline:

"VC Investment in Internet Deals Did Not Fall Off a Cliff."

That's a lousy headline for generating page views. It's a story about "the dog that did not bark."

The point is that headlines drive business behavior to wild excesses on both the down-cycle bust and the up-cycle boom.

Just good reliable data would help.

Innovation Is Global, But It Keys Off US Data

At ReadWriteWeb, we love to track innovation from far-flung corners of the world, and we see the globalization of innovation as a critical trend.

So we want to be able to report on financing trends for early-stage Web technology startups across Europe and Asia, in addition to the US. And we expect any research process to be able to scale to that challenge.

But the reality today is that, globally, entrepreneurs and VCs key off US data. If they were to key off bad data, that would matter to everyone.

Why This Matters

Driving with one's eyes in the rear-view mirror is dangerous. We take action based on what authoritative sources tell us is happening today, and we base our assumptions on what that means will happen next and plan accordingly.

In reality, these sources tell us what has happened in the past, and they may not even tell us that accurately.

When we at ReadWriteWeb look at the macro picture, we favor a contrarian view simply because the reality we see today is often not what the headlines trumpet. When the markets were in the late stage of a boom, we were sounding the warning signals.

When the markets were melting, we began to see surprising signs of life in the early-stage Web technology world we live in.

Whether you are an entrepreneur or an investor, knowing what the crowd is thinking -- and what the headlines are trumpeting -- is valuable. Even more valuable are the underlying facts and trends that may be missing from those headlines. In the disconnect between the two often lies a lot of opportunity.

We hope to ignite a debate that leads to greater accuracy and transparency of these numbers.

This is an important subject for those companies looking to enter into the geo-locational space. Groups that encrypt their data are taking pains to reduce the threat of identity theft, illegal surveillance or for data to be subpoenaed by a court. These companies will be rewarded with customer loyalty when the unfortunate time comes for one or all three of the above scenarios.

Those critical of encryption might suggest that law-abiding citizens have nothing to hide, but that simply isn't true. What if you're in alcoholics anonymous? Or you've simply spent the night at a person's house? And honestly, do you really want your running club to see how often you eat at Arby's? Encryption allows us to ping our friends while maintaining an air of mystique, and at the end of the day, the companies that care about their customers, keep them.

The shift from facts to data is subtle and makes perfect sense. You could that say data are facts, with the difference that they can be computed, analyzed, and made use of in a more abstract way, especially by a computer.

There is nothing new about pointing out the importance of public data being made available. Sir Tim Berners-Lee has discussed at length the importance of governments and institutions putting their data online, making it accessible and useful. His TED talk and interviews with ReadWriteWeb and Talis (disclosure: I am a blogger at Talis) all explain his belief that by publishing linked data we can begin to solve many of the problems the world faces. Innovations in medicine, science, and development could all be achieved if only currently hidden data were made available. Data-driven journalism could be the first step in realizing this dream. The best stories would then come from innovators who read about trends reported in news media and are then able to draw new conclusions and solve bigger problems. In his recent discussion with BBC, Berners-Lee said that the next step is to go for low-hanging fruit by just getting the data out there.

Thus far, this has made a lot of sense to me, and I have been tracking the publication of linked data and increasing access to public knowledge as emerging trends over at Talis. But my perspective has shifted a bit in the past few weeks.

First, there was data.gov and President Obama's call for more access to government data. A sitting head of state (and one of some significance) was clearly calling for public access to government data: this was news! But the idea has been discussed, praised, and debated for a while since then and may have lost some of its luster.

Then about a month ago, UK Prime Minister Gordon Brown made it part of his digital strategy to prioritize the publication of government information. He asked Sir Tim personally "to help us drive the opening up of access to Government data in the web over the coming months" and appointed Berners-Lee an official governmental adviser. By now, neither of these stories is news and comparisons between the initiatives have been made.

The Guardian newspaper recently launched its own Data Blog, with the intention of letting readers access, mash up, and reuse much of its information in the form of data, which could in turn drive stories.

What is perhaps not as explicitly recognized is the voracious appetite for data that has been apparent for months. It is less about turning good ideas into stories and more about seeing how data informs our understanding of events happening right now. Each new initiative is another piece of low-hanging fruit picked.

Access to data is important: it drives innovation and even social change. Governments that publish their data have to become more transparent. Humanitarian organizations that make their findings known could spark bigger projects and source innovative solutions from their communities. Scientific findings and raw information could be used to solve bigger problems than the result of a single experiment or trial could ever manage. Even the simple comparison of two or more facts can lead to new insight, and all of these things happen only when the walls around an institution become porous.

2009 could become known as the year of data, the year of open access, or the year of the semantic Web (see links above for how this relates), and it may also be the first year when it becomes news that data wasn't published in a story when it should have been. That a government body isn't being transparent or is blocking access by publishing its findings in PDF or other non-linking formats would make a very interesting story indeed. We can expect to see more and more organizations and public bodies remove their own barriers through initiatives and legislation. Examples have been set, and seeing excuses die along with barriers is not far-fetched.

Do you know of other data-driven stories? We'd love to hear about any insights that were made through publicly accessible data or where this data might come from next.

Guest author: Zach Beauvais is a Platform Evangelist for Talis and editor of Nodalities Magazine.

First, many Twitter users "have abandoned their accounts shortly after creating them, and a significant percentage are not showing signs of account activity".

* 40 percent of Twitter users have not tweeted since their first day on Twitter (i.e., the account was most likely created and subsequently forgotten about).

* Approximately 25 percent of Twitter users are not following
anyone, while two-thirds are following less than 10 people (i.e., the
account was created but is not actually being used regularly).

Second, the data shows that "Twitter is used more as a mass medium for receiving information, rather than as a way to interact with others. Proof is shown by evaluating the followers and friends of Twitter users".

* More than 1/3 of Twitter users have not posted a single tweet, and almost 80 percent of the users have less than 10 tweets (i.e., while Twitter is billed as a great collaboration tool, a large number of users are there to consume content, not distribute it).

* Approximately 30 percent of Twitter users do not have any
followers, and 80 percent of Twitter users have less than 10 followers
(i.e., for many users, their posts are not being widely tracked or
read).

* 50 percent of Twitter users are following more people than they
have as followers, and another 30 percent of Twitter users are following
the same number of people that are following them (i.e. users are
aggressively trying to attract followers by hoping they will "follow
back" but have been unsuccessful).

It's clear that celebrities like Oprah and Ashton Kutcher have made Twitter the "flavor of the month", but there are many people out there who will never quite get it. That's alright with us. There are bound to be folks trying out different Web apps that won't end up using them, we do it all the time. We still think Twitter has become a valuable mainstream communication platform and its usage will continue to evolve and grow.

Be sure to check out Purewire's new Twitter grading tool Tweet Grade to see if you and your followers pass the test.

You can find ReadWriteWeb on Twitter, as well as the entire RWW Team: Marshall Kirkpatrick, Bernard Lunn, Alex Iskold, Sarah Perez, Frederic Lardinois, Sean Ammirati, Doug Coleman, Dana Oshiro, Steven Walling and Lidija Davis.

Currently, there are still a number of technical and privacy issues that are holding back some of the most interesting services. Due to the absence of background processing, the current generation iPhone, for example, can't regularly ping a server with a user's location and then send alerts to the phone based on this information. Alerts you have to actively pull up are, after all, not nearly as compelling as automated messages that tell you that you are heading right for a major traffic jam.

Underserved Markets: Local Alerts, Special Offers

Advertisers will also be happy to hear that a large number of consumers would like to receive special offers tailored to their current location, but only a very small number of current smartphone users are actually aware or able to use these services.

According to Compete's Andy deGaravilla, this means that companies that manage to provide users with more compelling and relevant ads based on their location will "likely see higher clickthrough rates and subsequent engagement." At the same time, though, we can't help but wonder if at least some users would also like to simply receive a text message or another kind of alert on their phones if, for example, a nearby store has an offer for them.

User Initiated vs. Background Services

The current generation of location based apps mostly relies on users to initiate the process. It would be interesting to see how consumers would react to a background service that actively monitors a person's location and sends out alerts when a user enters a certain location, for example. Of course, this could get highly annoying quickly, but there is no reason to believe that it couldn't be done right.

It's a fun site to use. Basketball, football and NASCAR are supported initially - hopefully baseball and hockey will be next. There's OpenID integration, the image selection is really nice and it's just great. It's still a little rough around the edges but given that the service just launched today - we're impressed. This is the kind of democratized data visualization that any field could benefit from with enough open data and a good user interface.

The Adobe Flash charts that StatPlot produces are even nicer, but they aren't easy to scale down to the size I needed.

The whole StatSheet franchise is an interesting one to watch. See TechCrunch's recent coverage of the company's tussle with Twitter over innovation on that platform.

Bring on the huge data sets and easy charting interfaces! We'd love to see a little of that action over at Data.gov, for example. Heck, let's see these kinds of options put on top of the forthcoming ClearSpring API tracking hundreds of millions of peoples' sharing activities online.

As StatSheet said on its blog today: "There are other services (Swivel, iCharts.net, Many-Eyes) that allow you to upload data and create a variety of visualizations, but these all suffer from the same issue. The average sports fan does not have access to quality sports stats to upload. With StatPlot, you don't need to bring your own data because you can use the expansive StatSheet database!"

It's not just sports fans that could use a hand with data sets. We all could. Thanks for leading the way in truly democratizing data visualization, StatSheet.

New federal CIO Vivek Kundra is in charge of the site, which will act as a central repository for government data, including XML, CSV, KML files and more. At launch a mere 47 data sets are included and they appear to lean towards the least controversial matters. None the less, it's exciting to see the effort happening. Hopefully some awesome mashups are on the way!

There are many, many sets of data available from the federal government but the Data.gov site says it was selective about quality and standards when choosing what to include. It's hard not to compare other sources of government data and feel disappointed, though. The privately built USGovXML.com contains far more data and was built by one independent developer over four months. That site lists ten Department of Interior XML feeds, for example, none of which appear on Data.gov. You can find a feed of food recalls there, but not on Data.gov.

Twenty six government agencies are represented in the catalog, though not all are offering raw data. The FBI is listed as a source but only offers a widget that can be placed on websites, not access to raw data.

New York Times data wonk Derek Willis pointed out that the initial offerings are non-controversial. "Most are from USGS, EPA and National Weather Service," Willis observed this morning. "No [data from] Department of Homeland Security, State or DOJ."

Likewise, a search of the data sets for keywords like food, prisons and drug all bring up zero results. Those are examples of particularly important topics because they are matters of justice and injustice - shedding light into dark corners where injustices are being perpetrated is one of the most important things that government data and the subsequent computer assisted reporting can accomplish.

There are no RSS feeds available for the whole catalog or search queries, something that would be very useful for tracking additions of new data. We expect that will change soon.

People will no doubt argue that some data is much better than no data, and while that's true: for a new federal office to engage with such an important topic with the weight of history and the whole administration behind it and then come up with something this limited is disappointing.

API and mashup watcher John Musser of ProgrammableWeb was more generous than we are about the initial offerings:

"They're off to an excellent start. It's a big step in accessibility of government data. As we've been seeing with other v1 gov-data efforts, like the recently available data on senate votes: step one is give people structured data like xml, step two (or later) is to make it available via an API. They have a healthy amount of metadata. The number of data sets is not that large, but of course it's just the beginning."

It is just the beginning and we applaud the launch of this effort. We hope that the initial launch will pale in comparison to the long term value of this collection of data.

The folks at Sunlight Labs, Google, O'Reilly/TechWeb and Craig Newmark just launched a new part of their Apps for America contest to build the best mashups and data visualization tools for data in the new Data.gov site. Check it out!

See also the newly launched Whitehouse.gov/open - launches today just keep popping up.

Most of us understand the world based on stories we've put together from our own lived experience. Another way to understand things is by finding patterns drawn from everyone's experience in aggregate. Journalists often find big patterns and then zoom in to particular life stories that exemplify those general trends but make them easier for us to relate to as individuals. Those stories then help move public opinion in favor of policies that aim to change the general trends. That's just one way that easily searchable public data can be very, very important.

These first data sets come from the U.S. Bureau of Labor Statistics and the U.S. Census Bureau's Population Division, but as Google explains in its announcement there are far more sources of information that could be included. Those two government agencies alone have a lot more to offer as well.

The visualization technology is called Trendalyzer, which Google acquired from a company called Gapminder two years ago.

We hope that Google will index as many public data sets as possible. We'd like to see demographic data like race and income made available for cross referencing; infant mortality, education levels, toxic waste reporting and crime statistics are other logical factors that would be great to see included.

It may not be a co-incidence that the new Google Public Data search option was announced on the same day that the much-anticipated Wolfram|Alpha data-centric "expert knowledge" engine was first demonstrated to the public.

The coming era of the web is based on data, on drawing patterns and meaning out of a far larger body of data than the human mind alone could ever comprehend. The explosion of data (much of which is now created by the people formerly known as the audience), combined with commodity level storage and processing power, makes technology like what Google began to unveil today possible and important.

Google made its reputation by showing people the most important web pages on any topic. In the future, search engines will grow in importance as they become more capable of showing us what is most important across all web pages and all other available data, about any given topic. That's why we find the wide open conversations and social connections on Twitter so interesting, why we argue that the real motherlode of value in Facebook is not just individual streams of data but open access to all the data for analysis, and why we're so intrigued to see Google enter this space.

The availability of census and other public data has helped illuminate a wide variety of issues through "computer assisted reporting" - from the redlining of housing loans along racial lines to very current studies of ongoing urban segregation.

Just like blogging democratized publishing, we hope that Google and other services will make enough data sets available for anyone to cross reference and visualize that analysis of public data will also become something that anyone can do. That means that a whole lot more of it will be done.

It needs to be said, though, that Facebook's user base has exploded over the last year, while Digg's traffic 'only' grew by about 50% according to Compete. During its fifth year, Facebook's traffic more than doubled from about 28 million visitors to over 73 million.

As Jay Meattle points out in his guest post for Compete, Digg will have to come up with something very special if it wants to continue to match Facebook's growth.

Can Digg Become Mainstream?

In a way, though, comparing Digg to Facebook isn't even necessarily fair, as they provide two completely different services, but in terms of the users they want to reach, both have very similar aspirations. For now, Digg, however, hasn't been able to break into the mainstream (even though Kevin Rose and Alex Albrecht made an appearance on Jimmy Fallon last week), while there is a good chance that even your mother is now joining Facebook. If Digg wants to continue its growth, it will have to find a way to attract more mainstream users without alienating its base.

The software, Glasshouse by Green Phosphor, lets you take data from either a spreadsheet or database query and place a 3D representation of it into a virtual world environment where it can then be explored interactively. Users are inserted into the virtual world as an avatar which can then manipulate the visualization of the data by drilling down into it, re-sorting it, or even just spinning it around to see it from all angles.

The benefits to working with data in this way don't really need to be touted too much - many businesses already perform data visualization, often using expensive software and powerful computers to do so. What makes what Green Phosphor does so interesting is not that they've come up with a way to visualize data - it's that they've come up with a way to leverage the platforms of virtual worlds to do so.

How it Works: CICP (Think HTTP for Virtual Worlds)

Some of the company's solutions involve using a proprietary virtual world, "Glasshouse," for data visualization, but for Second Life, Sun's Wonderland, and other virtual world users, they've developed adapters that project graphs from Glasshouse into whichever virtual world you're using. The only requirement is that the virtual world be CICP-enabled.

CICP, or Content Injection and Control Protocol, was developed in-house by Green Phosphor CEO Ben Linquist and released to the public domain. The standard, cross-platform protocol essentially serves as HTTP for virtual worlds where it works as a communication mechanism that the Glasshouse gateway can use to generate temporary artifacts in the worlds. Already it has been added to Sun Wonderland and released under the GPL license there. It has also been implemented in Second Life with the help of a Java servlet and released under a BSD license. The company is currently working to add it to other virtual worlds, too.

Data Viz for Anyone: From Spreadsheets to Biotech

Depending on company size, there are three different levels of service available. First, a spreadsheet world lets you upload Excel spreadsheets that can then be visualized in a web interface. Next, there's a workgroup appliance that delivers data visualization and virtual conferencing needs to small or medium-sized businesses. And finally, enterprise solutions designed especially for virtual markets like bio-technology have also been developed as more customized solutions.

As Linquist explains in this YouTube video, the technology is even advanced enough to produce a virtual laboratory where researchers can perform model-based drug development.

If you have Java installed, you can test their web-based virtual world demo by clicking here (launches Java window). For more information about their solutions, visit GreenPhosphor.com.

Another interesting fact about the downstream clicks from Twitter is that very few users go from Twitter.com to retail, business, or finance sites.

Here are a few other interesting findings:

• after visiting Twitter.com, more users visit Etsy.com, the marketplace for buying all things handmade, than Amazon
• in terms of downstream clicks, CNN.com is the most popular news service on Twitter
• Yahoo Mail gets more downstream clicks than Gmail or Windows Live Mail

One caveat about this data that Hitwise does not mention, however, is that a large number of Twitter users never even visit Twitter.com because they use more fully-featured desktop or mobile clients like Twhirl, TweetDeck, or Tweetie. Hitwise obviously doesn't have access to this data, but it would be interesting to see if those Twitter users who use a Twitter client exhibit a different behavior compared to those who use the web site.